Regular biography
Adam Christopher Jones is a Research Fellow at the Mathematical Institute, University of Oxford, within the Department of MATH. His research interests include deep hedging, decision theory, deep learning, and quant research in equities, particularly exotics. Jones has contributed to several publications, including "Ambiguity-Averse Deep Hedging with Feature Clustering" and "Deep Neural Network Initialization with Sparsity Inducing Activations." He has also authored "On Counting Cards and Learning Optimal Deviations from Blackjack Strategies," which earned him the SIGBOVIK 2025 spirit award. Jones holds a MMath from the University of Warwick, with a focus on dynamical systems and ergodic theory. His work is supported by the EPSRC and has been recognized with the Peter Carr Memorial Award at QuantMinds 2025.
Scholar-generated biography
Adam Christopher Jones is a DPhil student at the University of Oxford, specializing in Deep Learning and Deep Hedging. His research explores the application of deep neural networks in financial contexts, particularly focusing on ambiguity-averse strategies and optimal deviation learning. Jones's work includes the development of sparsity-inducing activation functions for neural network initialization and the use of feature clustering in hedging frameworks. His publications, such as 'Ambiguity-Averse Deep Hedging with Feature Clustering' and 'On Counting Cards and Learning Optimal Deviations from Blackjack Strategies', highlight his interest in combining machine learning with financial modeling. His research contributes to the intersection of deep learning and quantitative finance, offering novel approaches to risk management and strategic decision-making.